Mark Moll
Affiliations: | Computer Science | Rice University, Houston, TX |
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"Mark Moll"Bio:
Department of Computer Science, Rice University, Houston, TX, USA
Cross-listing: Computational Biology Tree
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Publications
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| Luna R, Moll M, Badger J, et al. (2020) A scalable motion planner for high-dimensional kinematic systems: The International Journal of Robotics Research. 39: 361-388 |
| Kingston ZK, Moll M, Kavraki LE. (2019) Exploring implicit spaces for constrained sampling-based planning: The International Journal of Robotics Research. 38: 1151-1178 |
| Abella JR, Moll M, Kavraki LE. (2018) Maintaining and Enhancing Diversity of Sampled Protein Conformations in Robotics-Inspired Methods Journal of Computational Biology. 25: 3-20 |
| Devaurs D, Antunes DA, Papanastasiou M, et al. (2017) Coarse-Grained Conformational Sampling of Protein Structure Improves the Fit to Experimental Hydrogen-Exchange Data. Frontiers in Molecular Biosciences. 4: 13 |
| Novinskaya A, Devaurs D, Moll M, et al. (2017) Defining Low-Dimensional Projections to Guide Protein Conformational Sampling. Journal of Computational Biology. 24: 79-89 |
| Grady DK, Moll M, Kavraki LE. (2015) Extending the Applicability of POMDP Solutions to Robotic Tasks Ieee Transactions On Robotics. 31: 948-961 |
| Moll M, Sucan IA, Kavraki LE. (2015) Benchmarking Motion Planning Algorithms: An Extensible Infrastructure for Analysis and Visualization Ieee Robotics & Automation Magazine. 22: 96-102 |
| Gipson B, Moll M, Kavraki LE. (2013) SIMS: a hybrid method for rapid conformational analysis. Plos One. 8: e68826 |
| Moll M, Bordeaux J, Kavraki LE. (2013) Software for project-based learning of robot motion planning Computer Science Education. 23: 332-348 |
| Bekris KE, Grady DK, Moll M, et al. (2012) Safe distributed motion coordination for second-order systems with different planning cycles International Journal of Robotics Research. 31: 129-150 |